Senior Data Management Professional - Data Engineering - Classifications

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Princeton, NJ

Posted Apr 11, 2024 - Requisition No. 124489

Bloomberg runs on data. Our products are fueled by powerful information. We combine data and context to paint the whole picture for our clients, around the clock – from around the world. In Data, we are responsible for delivering this data, news and analytics through innovative technology - quickly and accurately. We optimize the value of our data by combining our domain and technical expertise to make our data fit-for-purpose, timely and accurate. We apply our problem-solving skills to identify innovative workflow efficiencies and we implement technology solutions to better manage our data.

Our Team:

The Classifications team is responsible for creating and maintaining the classifications that organize companies and securities into peer groups based on similar business activities and risks. When our clients analyze peer groups, compare investment security options, or browse historical market trends, classification data is one of the most integral parts of comparing data irregularities among competitors.

We enable clients to:

  • Collect and assess the impact of global, regional or local industry trends on a portfolio
  • Compare and report on industry sector exposures versus peers or benchmarks
  • Pinpoint industry investment opportunities across developed and emerging markets
  • Analyze sector and industry contributions to portfolio performance
  • Construct consistently defined global or regional sector-based and sector rotation strategies

The Role:

As a Classifications Senior Data Engineer, you will be responsible for improving the consistency, quality, and timely delivery of classification data across various asset types by implementing technological improvements. You will use and build additional business intelligence to ensure we are meeting targets.

We’ll trust you to:

  • Understand financial markets and client needs to drive classification product strategies
  • Use technical skills to evaluate and apply sound statistical methods, programming and machine learning approaches to promote and measure data quality, generate insights, extract information, and build newsworthy content
  • Analyze internal processes to find opportunities for improvement; devise and implement innovative solutions across datasets
  • Maintain workflow configurations for critical functions such as worklist management and quality control
  • Develop interconnected data models that enable analysis across datasets
  • Collaborate extensively with internal partners (primarily Core Product, Financial Solutions, News, and Engineering) to propose, develop and implement market leading solutions for our clients

You’ll need to have:

  • A Bachelor's degree, preferably with combined studies in Information Systems and Finance or related business and STEM fields
  • 4+ years of programming and scripting in a production environment (Python, Javascript, etc)
  • Experience using data visualization tools such as Tableau or QlikSense
  • Experience working with BQL and BBDS
  • Completion of a Data Automated Services course
  • Strong research, analytical, and communication skills
  • Openness to change and willingness to work through challenges
  • Powerful collaboration skills to work across departments and with global teams
  • Solid attention to detail and high degree of demonstrated decision-making and problem solving skills
  • Project management skills and ability to prioritize and adapt to tasks accordingly
  • Legal authorization to work full-time in the United States and will not require visa sponsorship now or in the future

We’d love to see:

  • Experience working with an Agile development methodology such as Scrum
  • Experience implementing high volume, low-latency ETL pipelines
  • Knowledge of Artificial Intelligence, Natural language Processing, Machine Learning
    Does this sound like you?

Apply if you think we're a good match. We'll get in touch to let you know what the next steps are!

Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law.

Bloomberg provides reasonable adjustment/accommodation to qualified individuals with disabilities. Please tell us if you require a reasonable adjustment/accommodation to apply for a job or to perform your job. Examples of reasonable adjustment/accommodation include but are not limited to making a change to the application process work procedures, providing documents in an alternate format, using a sign language interpreter, or using specialized equipment. If you would prefer to discuss this confidentially, please email (Americas), (Europe, the Middle East and Africa), or (Asia-Pacific), based on the region you are submitting an application for. Alternatively, you can get support from our disability partner EmployAbility, please contact +44 7852 764 684 or

Salary Range: 110,000 - 170,000 USD Annually + Benefits + Bonus

The referenced salary range is based on the Company's good faith belief at the time of posting. Actual compensation may vary based on factors such as geographic location, work experience, market conditions, education/training and skill level.

We offer one of the most comprehensive and generous benefits plans available and offer a range of total rewards that may include merit increases, incentive compensation [Exempt roles only], paid holidays, paid time off, medical, dental, vision, short and long term disability benefits, 401(k) +match, life insurance, and various wellness programs, among others. The Company does not provide benefits directly to contingent workers/contractors and interns.

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